This paper addresses the issues of maximum likelihood estimation and forecasting of a long-memory time series with missing values. A state-space representation of the underlying long-memory process is proposed. By incorporating this representation with the Kalman ยฎlter, the proposed method allows no
Maximum Likelihood Estimation and Forecasting of DNA Sequence with Missing Values
โ Scribed by Jie, Gao; Zhen-Yuan, Xu; Li-Ting, Zhang
- Book ID
- 111919817
- Publisher
- American Scientific Publishers
- Year
- 2007
- Tongue
- English
- Weight
- 311 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1546-1955
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